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2009
ACM
16 years 7 months ago
A methodology for extracting temporal properties from sensor network data streams
The extraction of temporal characteristics from sensor data streams can reveal important properties about the sensed events. Knowledge of temporal characteristics in applications ...
Dimitrios Lymberopoulos, Athanasios Bamis, Andreas...
KDD
2007
ACM
137views Data Mining» more  KDD 2007»
16 years 7 months ago
Characterising the difference
Characterising the differences between two databases is an often occurring problem in Data Mining. Detection of change over time is a prime example, comparing databases from two b...
Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes
KDD
2005
ACM
160views Data Mining» more  KDD 2005»
16 years 7 months ago
Optimizing time series discretization for knowledge discovery
Knowledge Discovery in time series usually requires symbolic time series. Many discretization methods that convert numeric time series to symbolic time series ignore the temporal ...
Alfred Ultsch, Fabian Mörchen
KDD
2005
ACM
137views Data Mining» more  KDD 2005»
16 years 7 months ago
Pattern-based similarity search for microarray data
One fundamental task in near-neighbor search as well as other similarity matching efforts is to find a distance function that can efficiently quantify the similarity between two o...
Haixun Wang, Jian Pei, Philip S. Yu
KDD
2004
ACM
151views Data Mining» more  KDD 2004»
16 years 7 months ago
Feature selection in scientific applications
Numerous applications of data mining to scientific data involve the induction of a classification model. In many cases, the collection of data is not performed with this task in m...
Erick Cantú-Paz, Shawn Newsam, Chandrika Ka...
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